Evidence map›Paper›PMID 39641080›Full record

ArticleHeliyon2024

Differential gene expression analysis supports dysregulation of mitochondrial activity as a new perspective for glioblastoma's aggressiveness.

Ricardo Cunha de Oliveira, Felipe Gouvea de Souza, Ana Gabrielle Bispo, Matheus Caetano Epifane-de-Assunção, Giovanna C Cavalcante

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ricardo Cunha de OliveiraLaboratory of Human and Medical Genetics, Institute of Biological Sciences, Federal University of Pará (UFPA), Av. Augusto Correa, 01, 66075-110, Brazil.
Felipe Gouvea de SouzaLaboratory of Human and Medical Genetics, Institute of Biological Sciences, Federal University of Pará (UFPA), Av. Augusto Correa, 01, 66075-110, Brazil.
Ana Gabrielle BispoLaboratory of Human and Medical Genetics, Institute of Biological Sciences, Federal University of Pará (UFPA), Av. Augusto Correa, 01, 66075-110, Brazil.
Matheus Caetano Epifane-de-AssunçãoLaboratory of Human and Medical Genetics, Institute of Biological Sciences, Federal University of Pará (UFPA), Av. Augusto Correa, 01, 66075-110, Brazil.
Giovanna C CavalcanteLaboratory of Human and Medical Genetics, Institute of Biological Sciences, Federal University of Pará (UFPA), Av. Augusto Correa, 01, 66075-110, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain cancer is considered one of the most aggressive and lethal types of cancer, including primary tumors, being subdivided into milder forms such as low-grade gliomas and glioblastoma, considered the most aggressive form with higher invasion. Among the hallmarks of glioblastoma, the deregulation of mitochondrial metabolism has not yet been fully elucidated. Therefore, the search for mitochondrial biomarkers that can be used as indicators of the progression of this type of cancer is necessary. The aim of this study was to investigate the difference in gene expression between astrocytoma-type gliomas and glioblastomas, and how genes involved in mitochondrial metabolism can influence the proliferative cascade and be associated with tumor invasion. From the differential analysis of glioblastoma expression when compared to the milder form, 11 differentially expressed genes (DEGs) were found in our study, six of which were upregulated (

Indexed as

AstrocytomaGene expressionGlioblastomaGlycolysisOxidative phosphorylation

Identifiers

PMID39641080
PMCPMC11617864

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.